Acosta G., Smith E., Kreinovich V. Towards Analytical Techniques for Systems Engineering Applications

Springer, 2020. — 102 p. — (Studies in Systems, Decision and Control 286). — ISBN: 978-3-030-46412-7.This book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex systems, it is possible to create easy-to-compute explicit analytical models instead of time-consuming computer simulations. Usually, however, analytical models are designed on a case-by-case basis, and there is a scarcity of general techniques for designing such easy-to-compute models.Formulation of the Problem.
Analytical Techniques for Describing User Preferences: Justification for (and Extension Of) the Matrix Factorization Technique.
Analytical Techniques for Describing User Preferences: 80/20 Rule Partially Explains 7 Plus Minus 2 Law: General System-Based Analysis.
Analytical Techniques for Analyzing Probability Distributions: How to Explain That Changes in Elderlies Depression Level Are Uniformly Distributed.
Analytical Techniques for Analyzing How Systems Change with Time: A Natural Explanation for the Minimum Entropy Production Principles.
Analytical Techniques for Gauging Accuracy of Expert Knowledge: A Simple System-Based Explanation of the Dunning–Kruger Effect.
Analytical Techniques Help Enhance the Results of Data Mining: Case Study of Cow Insemination.
Analytical Techniques Help Enhance the Results of Data Mining: Why Pink Noise Is Best for Enhancing Sleep and Memory.
Analytical Techniques Help Enhance the Results of Data Mining: Why Filtering Out Higher Harmonics Makes It Easier to Carry a Tune.
Case When Analytical Techniques Invalidate the Conclusions of Data Mining: Reversed Flynn Effect of Decreasing IQ Test Scores.
Analytical Techniques in Hypothesis Testing: Why Area Under the Curve?
It Is Important to Revisit the Selection of the Best Model When New Data Appear: Why Confirmation Bias is a Faulty Strategy.
Need for a Careful Comparison Between Hypotheses: Case Study of Epicycles.
Analytical Techniques Help in Emulating Biological Systems: An Explanation of Why High-Level Attention Constantly Oscillates.
Analytical Techniques for Taking into Account Several Aspects of a Designed Systems: Case Study of Computation-Communication Tradeoff.
Users Do Not Always Follow Expert Recommendations: Analytical Technique Explains Empirical Data.
Analytical Techniques for Making Recommendations More Acceptable to Users: Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account.
Analytical Techniques for Testing: Optimal Distribution of Testing Resources Between Different System Levels.